Monday, July 6, 2026

Value in Technology Value Chains Tends to Migrate to the App Layer

Slow revenue growth and lower average revenue per account are hardly new concerns for suppliers of consumer access services (mobile or fixed). 


But we should not be surprised, either. 


The rule in technology industries is that economic value tends to migrate upward in the technology stack. Network effects are one reason. But opportunities for customer relationships, loyalty and multiple revenue models also make a big difference. 


Asset

Access provider

Application

Customer relationship

Weak

Strong

User data

Limited

Extensive

Workflow integration

None

Deep

Brand loyalty

Moderate

High

Network effects

Small

Often enormous

Pricing flexibility

Low

High


So in the internet value chain, roughly half of ecosystem revenues accrue to app providers, while access providers (internet service providers, mobile service providers) get between 15 percent and 20 percent. 


Value chain layer

Typical participants

Approx. share of ecosystem revenues

Economic characteristics

User applications & digital services

Google, Meta, Microsoft, Netflix, Salesforce

45–55%

Highest margins and strongest network effects

Commerce & digital platforms

Amazon, Uber

20–25%

Transaction-based economics

Cloud & enabling services

Amazon Web Services, Microsoft Azure, Google Cloud, CDNs

10–15%

Infrastructure with higher value-added

Internet access

ISPs, cable, mobile operators

15–20%

Capital intensive, regulated, slower growth

Passive infrastructure

Towers, fiber REITs, colocation

5–10%

Stable but utility-like returns


The economic principle is simple:

  • Infrastructure competes on capacity

  • applications compete on customer outcomes.


Capacity usually becomes abundant, and abundance reduces pricing power.  Solutions for customer problems remain “scarce,” in the sense that customers gravitate to a relatively few apps and tend to stick with them over time. 


And scarcity supports pricing power. 


Economic force

Internet example

AI analogy

Infrastructure becomes commoditized

Broadband, fiber and mobile access become widely available

GPU clusters eventually become standardized compute utilities

User attention concentrates

Search, social media, streaming dominate consumer engagement

AI assistants and vertical AI agents become primary interfaces

Switching costs increase higher in stack

Users stay with Gmail, Office 365, Salesforce—not because of ISP

Users remain with AI workflow platforms because of memory, integrations and data

Network effects strongest near users

Facebook, YouTube, Amazon Marketplace

OpenAI ecosystem, enterprise agent platforms, developer ecosystems

Pricing power follows differentiation

ISP sells Mbps; applications sell outcomes

GPU provider sells tokens; applications sell productivity or decisions

Marginal cost falls faster below than above

Network capacity continually gets cheaper

Compute cost falls faster than value of specialized applications


In the AI ecosystem, similar value chain effects should happen. Value should accrue heavily at the app layer. 


AI layer

Future revenue share

Why

AI applications and agents

40–50%

Own workflows and customer relationships

Vertical enterprise software

20–25%

Industry-specific solutions

Foundation model providers

10–20%

Models become more competitive over time

AI cloud infrastructure

10–15%

Compute utility with economies of scale

Hardware (GPUs, networking)

5–10%

Hardware normalizes after supply shortages

Power and facilities

3–8%

Necessary but infrastructure economics

Saturday, July 4, 2026

"We Hold These Truths to be Self-Evident"

For some people, human failures are the main story; the redemption and the progress somehow irrelevant. 

When the U.S. Declaration of Independence said "we hold these truths to be self-evident, that all men are created equal," critics will always mention that the phrase did not clearly specify women, slaves or perhaps even non-property-owning people. 

But human progress is a journey. We eventually get it right. 

At least 360,000 Union soldiers died to extend the self-evident truth of equality to all former slaves. At least 275,000 Union soldiers were wounded. At least 30,000 suffered combat amputations of limbs. 

Beyond that, progress towards equality of many types continued:
* 13th Amendment (1865): Abolished slavery and involuntary servitude.
* 14th Amendment (1868): Established citizenship and guaranteed "equal protection of the laws."
* 15th Amendment (1870): Prohibited disenfranchisement based on race, color, or previous servitude.
* 19th Amendment (1920): Extended the right to vote to women.
* 24th Amendment (1964): Eliminated poll taxes that blocked low-income citizens from voting.
* 26th Amendment (1971): Lowered the voting age from 21 to 18 during the Vietnam War
* Civil Rights Act of 1964: Outlawed discrimination based on race, color, religion, sex, or national origin in public accommodations and employment.
* Voting Rights Act of 1965: Banned discriminatory voting practices like literacy tests.
* Fair Housing Act of 1968: Prohibited discrimination in housing rentals, sales, and financing. [1, 2, 3, 4, 5]
* Rehabilitation Act (1973) & ADA (1990): Mandated equal access and prohibited discrimination against individuals with disabilities
* Title IX (1972): Guaranteed equal educational and athletic opportunities regardless of sex
* Marriage Equality (2015): The Supreme Court ruled in Obergefell v. Hodges that the 14th Amendment guarantees same-sex couples the right to marry.

The point is that the initial promise is the main thing. Our failures to be completely inclusive are secondary. We eventually get things right. 

The U.S. Declaration of Independence has been a cornerstone of global human rights, serving as a foundational blueprint for self-government. 

By asserting universal equality and the right to resist tyranny, it inspired over 100 countries to draft similar declarations and directly fueled subsequent uprisings like the French Revolution.

Its emphasis on "life, liberty, and the pursuit of happiness" provided a universal rallying cry for liberation and democratic movements worldwide. It directly influenced foundational European texts like France's Declaration of the Rights of Man and of the Citizen.

It was the first time a group of colonies successfully used the language of independence to announce their statehood and assert an "equal Station among the Nations". This provided a flexible framework for colonies in the 19th and 20th centuries to break free from imperial rule.

By establishing that governments derive their power from the people rather than divine right, the document helped to upend prevailing orthodoxies and accelerated the global transition toward modern democracy.

The document’s inherent promise of universal equality has been continuously leveraged by marginalized groups globally to demand civil rights, suffrage, and abolition.

Happy Fourth of July. It is a human achievement and an event of global impact worth celebrating. 

Friday, July 3, 2026

How Big is SpaceX Addressable Market, Really?

Nobody yet knows the eventual returns from hyperscaler high-performance computing investments, but SpaceX has estimated the artificial intelligence total addressable market at $26.5 trillion


If that seems questionable, Morgan Stanley projects a $25 trillion market for AI-powered robots alone by 2050. 


But such estimates always are contentious, partly because they rely on decades of growth, and the inclusion of many categories of revenue that might also be placed elsewhere. 


Consider the range of estimates for the current value of the “internet” ecosystem, which has had nearly three decades to develop. 


One of the challenges in estimating the "internet economy" is that there is no universally accepted definition. 


Depending on what is included, estimates range from roughly $7 trillion (counting only direct digital-industry revenues) to well over $40 trillion (counting all commerce conducted over internet-enabled channels).


Internet ecosystem segment

Estimated 2026 annual revenue (US$ trillions)

Value Chain Segments

Sources

Global IT spending

6.3

Hardware, software, IT services, communications supporting digital infrastructure

Gartner (Gartner)

Global telecommunications services

1.3–1.4

Fixed and mobile connectivity; largely overlaps Gartner communications services

Gartner (Gartner)

Public cloud infrastructure (IaaS/PaaS)

0.4–0.5

AWS, Azure, Google Cloud and other providers

Gartner forecast and industry estimates (Gartner)

SaaS / enterprise software

1.4

Includes enterprise application and infrastructure software

Gartner (Gartner)

Digital advertising

0.7–0.8

Search, social, retail media, video, display

(Digital Applied)

Consumer internet subscriptions

0.2–0.3

Streaming, gaming, digital media, subscriptions

Industry estimates

E-commerce platform revenues (fees, commissions—not merchandise value)

0.3–0.5

Amazon Marketplace, Shopify ecosystem, eBay, Alibaba, etc.

Industry estimates

Digital payments revenues

0.2–0.3

Payment processing and fintech platforms

Industry estimates


Adding these components (while avoiding obvious double counting where possible) suggests a reasonable market of perhaps $7 trillion to $11 trillion. 


Definition

Estimated 2026 revenue

Narrow definition (digital infrastructure, software, cloud, advertising, platforms)

$7–9 trillion

Broader definition (including telecom and digital media)

$9–11 trillion


That is still big, but nowhere near the $26 trillion figure. It might be more correct to say that, eventually, AI might be essential for supporting a wide range of economic activities that do range up into double-digit trillions of dollars.


So the SpaceX TAM is to be discounted by perhaps an order of magnitude. 


All we can measure, in the near term, is the capital investment and a relatively small, but fast-growing set of revenue streams. 


Segment

Revenue / spending level

Growth rate

Global corporate AI investment

$581.69B in 2025

+129.9% YoY linkedin

Global private AI investment

$344.66B in 2025

+127.5% YoY linkedin

Generative AI private investment

$170.87B in 2025

>200% YoY linkedin

AI infrastructure, models, research, governance funding

$143.22B in 2025

Steepest growth among focus areas; exact YoY not stated linkedin

AI software market, worldwide

~$251B in 2027

31.4% CAGR from 2022 to 2027 businesswire

AI platforms

Noted as one of the largest AI software categories

35.8% CAGR, 2023–2027 businesswire

AI applications

Roughly one-third of AI software revenue in 2023

21.1% CAGR, 2023–2027 businesswire

AI systems infrastructure software

Smaller category in 2023

32.6% CAGR, 2023–2027 businesswire

AI application development and deployment software

Smaller category in 2023

38.7% CAGR, 2023–2027 businesswire

Generative AI platforms and applications

$55.7B forecast for 2027

Forecast only; growth rate not stated in source businesswire

OpenAI annualized revenue

$25B by early 2026

Fastest-style scale-up; source describes exponential growth, not a formal CAGR linkedin

Anthropic annualized revenue

$19B by early 2026

Fast growth; source describes rapid rise, not a formal CAGR linkedin

xAI annualized revenue

$428M by early 2026

Fast growth; source describes rapid rise, not a formal CAGR linkedin

Mistral AI annualized revenue

$400M by early 2026

Fast growth; source describes rapid rise, not a formal CAGR linkedin


But near-term capex will still dwarf revenues. 


source: Futurum Group


 

source: Goldman Sachs


Value in Technology Value Chains Tends to Migrate to the App Layer

Slow revenue growth and lower average revenue per account are hardly new concerns for suppliers of consumer access services (mobile or fixe...